Object-Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images
Author:
Affiliation:
1. Computer Engineering Department; Bilkent University; 06800 Ankara Turkey
2. Graduate School of Informatics; Middle East Technical University; 06800 Ankara Turkey
3. Neuroscience Graduate Program; Bilkent University; 06800 Ankara Turkey
Funder
Türkiye Bilimler Akademisi
Publisher
Wiley
Subject
Cell Biology,Histology,Pathology and Forensic Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/cyto.a.23594/fullpdf
Reference25 articles.
1. Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy;Chen;IEEE Trans Biomed Eng,2006
2. Comparison of segmentation algorithms for fluorescence microscopy images of cells;Dima;Cytometry Part A,2011
3. Segmentation of clustered nuclei with shape markers and marking function;Cheng;IEEE Trans Biomed Eng,2009
4. Segmenting clustered nuclei using h-minima transform-based marker extraction and contour parameterization;Jung;IEEE Trans Biomed Eng,2010
5. Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and Kalman filter in time-lapse microscopy;Yang;IEEE Trans Circuits Syst I,2006
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